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Titlebook: Optimization and Artificial Intelligence in Civil and Structural Engineering; Volume I: Optimizati B. H. V. Topping Book 1992 Springer Scie

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书目名称Optimization and Artificial Intelligence in Civil and Structural Engineering
副标题Volume I: Optimizati
编辑B. H. V. Topping
视频video
丛书名称NATO Science Series E:
图书封面Titlebook: Optimization and Artificial Intelligence in Civil and Structural Engineering; Volume I: Optimizati B. H. V. Topping Book 1992 Springer Scie
描述This volume and its companion volume includes the edited versions of the principal lectures and selected papers presented at the NATO Advanced Study Institute on Optimization and Decision Support Systems in Civil Engineering. The Institute was held in the Department of Civil Engineering at Heriot-Watt University, Edinburgh from June 25th to July 6th 1989 and was attended by eighty participants from Universities and Research Institutes around the world. A number of practising civil and structural engineers also attended. The lectures and papers have been divided into two volumes to reflect the dual themes of the Institute namely Optimization and Decision Support Systems in Civil Engineering. Planning for this ASI commenced in late 1986 when Andrew Templeman and I discussed developments in the use of the systems approach in civil engineering. A little later it became clear that much of this approach could be realised through the use of knowledge-based systems and artificial intelligence techniques. Both Don Grierson and John Gero indicated at an early stage how important it would be to include knowledge-based systems within the scope of the Institute. The title of the Institute could
出版日期Book 1992
关键词Fuzzy; Management; Transport; environment; geotechnical engineering; logic; modeling; optimization; programm
版次1
doihttps://doi.org/10.1007/978-94-017-2490-6
isbn_softcover978-90-481-4201-9
isbn_ebook978-94-017-2490-6Series ISSN 0168-132X
issn_series 0168-132X
copyrightSpringer Science+Business Media Dordrecht 1992
The information of publication is updating

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Risk Balancing Approaches,An optimisation procedure is described which minimises the risk in a system in which various failure modes can occur, by optimally allocating expenditures in a set of investment modes and subject to an overall cost constraint. An example is given, which illustrates that the model is transparent.
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Entropy and Civil Engineering Optimization, of logically infering missing data. The numerical optimization process is characterized as one of infering a solution from partial information. New strategies for numerical optimization based upon entropy maximization are introduced.
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